Pilot Project Launched to Improve Identification of FH Patients
- company News
- 5 days ago
Sqilline and Prof. Dr. Ivo Petrov's team of leading cardiologists from Acibadem City Clinic Sofia have launched a pilot project to apply a Familial Hypercholesterolemia (FH) Identification Algorithm in patients with Acute Cardiovascular Events at the time of their hospitalization.
Cardiologists will work with the specially developed mobile and desktop application Danny Cardio. It will notify physicians of patients with a possible, probable, or definitive FH diagnosis based on a calculated result following the Dutch Lipid Clinic Network (DLCN) score.
Danny Cardio will organize all available data from multiple sources so physicians can approve/reject FH diagnosis while the patient is still in the hospital.
AI & NLP algorithms will transform the free text into structured data.
Smart notifications and direct link to FH Dutch Score will enhance communication between physicians working different shifts within the hospital.
The main objectives of the pilot project are:
- Systematic screening during hospitalization
- Empower physicians with a clinical decision support tool
- Improve patients' treatment and future outcomes
- Reduce the burden on the healthcare system by preventing recurrent event
Sqiiline expects more than 15 leading cardiac hospitals in Bulgaria to join the project and start working with the new Danny Cardio application.